DocumentCode :
2048473
Title :
Effective Recognition of Patterns in Object-Oriented Designs
Author :
Nguyen, Trung ; Pooley, Rob
Author_Institution :
Comput. Sci., Heriot Watt Univ., Edinburgh, UK
fYear :
2009
fDate :
20-25 Sept. 2009
Firstpage :
320
Lastpage :
325
Abstract :
This paper addresses the considerable interest there is in how to detect design patterns in existing designs and implementations. These approaches typically look for similarities between the diagrams used to describe the design and those which define the pattern. We look at several pattern detection techniques, before implementing and comparing two of the most successful. From this we conclude that both of these techniques have a certain ability to detect design patterns at the high levels of abstraction and programming language independence, needed at the design level. We then show that these approaches can work together to improve detection rates. Finally we propose how this work can be extended to detect more patterns and to include detection of anti-patterns.
Keywords :
object-oriented methods; programming languages; design pattern detection; object-oriented design; pattern recognition; programming language independence; Algorithm design and analysis; Computer languages; Computer science; Object detection; Object oriented modeling; Pattern analysis; Pattern recognition; Reverse engineering; Software engineering; Unified modeling language; design pattern recognition; fuzzy matching; graph comparison; hybrid technique;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Advances, 2009. ICSEA '09. Fourth International Conference on
Conference_Location :
Porto
Print_ISBN :
978-1-4244-4779-4
Electronic_ISBN :
978-0-7695-3777-1
Type :
conf
DOI :
10.1109/ICSEA.2009.53
Filename :
5298357
Link To Document :
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